HRMS migration
Field-level mapping, validation, and rollback between Toast and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.
Toast
Source
BambooHR
Destination
Compatibility
6 of 10
objects map 1:1 between Toast and BambooHR.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from Toast to BambooHR is a labor-layer migration, not a full POS data copy. Toast captures employee records, time entries, and shift schedules as part of its integrated back-office suite, but it is architecturally a restaurant point-of-sale platform. BambooHR is a purpose-built HRIS for small and mid-sized businesses with employee self-service, time-off tracking, benefits management, and applicant tracking. We extract the labor data via Toast's SFTP nightly exports and REST API, handle the BambooHR API's 400-field ceiling and per-employee record limit, and map Toast's employee and scheduling records into BambooHR's employee directory, time-off balances, and benefit enrollment objects. We do not migrate Toast orders, payments, menu items, or proprietary terminal configurations. We do not migrate Toast scheduling automations or time-clock rules; we deliver a written inventory of these for the customer's admin to rebuild in BambooHR.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Toast object lands in BambooHR, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Toast
Employee
BambooHR
Employee (directory)
1:1Toast employee records (names, roles, contact information, permissions, hire date, termination date) map to BambooHR Employee records via POST to /employees with a JSON body of field-value pairs. Toast's employee ID becomes the BambooHR employee number. Compensation history (pay rate, pay type) migrates to BambooHR's payRate field. BambooHR enforces approximately 400 fields per employee record ceiling — if the Toast schema plus custom fields exceeds this, we prioritize core fields and document overflow fields for manual entry. Duplicate email addresses on POST return HTTP 409 and must be resolved before import.
Toast
Time Entry
BambooHR
Time Off (balances)
lossyToast time entries (clock-in, clock-out, break duration, hours worked) export via SFTP nightly CSV or REST API. We map them to BambooHR time-off requests and accrual balances. Toast's overtime flags map to BambooHR accrual policy rules for overtime-eligible employees. BambooHR's accrual model requires pre-configuration of benefit types (PTO, sick, etc.) before balances can be written, so we configure accrual policies during the schema phase.
Toast
Shift
BambooHR
Schedule (calendar)
lossyToast shifts (scheduling windows, role assignments, availability) are exportable but represent scheduling configuration rather than a BambooHR-native object. BambooHR does not have a native shift scheduling module — it tracks time-off requests and calendar events. We export Toast shifts as reference data, map shift patterns to BambooHR calendar events for manager visibility, and flag that ongoing schedule management requires a third-party scheduling tool or BambooHR's limited availability-setting feature.
Toast
Employee (roles and permissions)
BambooHR
Employee (job information)
1:1Toast employee roles (server, cook, manager) map to BambooHR jobTitle and department fields. Toast's permission levels map to BambooHR's employee type and employment status. If the restaurant uses Toast's manager-role hierarchy for scheduling approvals, we map supervisor relationships to BambooHR's supervisor field which supports org-chart construction in BambooHR.
Toast
Table and Section
BambooHR
Location
1:manyToast table and section configuration defines restaurant floor layout and server assignments. Multi-location restaurant groups migrating to BambooHR can map Toast locations to BambooHR location records (available in BambooHR's HR module for companies with location-based employment). This enables BambooHR reporting by restaurant location. Single-location restaurants map their Toast location to a single BambooHR location record or omit if location tracking is not required.
Toast
Customer Profile
BambooHR
Candidate (ATS)
1:1Toast guest profiles capturing visit history, preferences, and loyalty program data have no direct BambooHR equivalent. We do not migrate guest profiles as standard scope. If the customer uses BambooHR's Applicant Tracking System (ATS) module for recruiting hires from their existing guest community, we can map a filtered subset (contact info, job application status) to BambooHR Candidates on a best-effort basis, with explicit scope documentation.
Toast
Custom Object
BambooHR
Custom Field
lossyToast custom employee properties (tip pools, certification tracking, allergen certifications for kitchen staff) map to BambooHR custom fields on the Employee object. Custom field IDs in BambooHR must be fetched via GET /v1/meta/fields per customer account — they are not hardcoded across tenants. We register custom fields during the schema phase using the discovered field IDs and map Toast property values to the corresponding BambooHR field names.
Toast
Order and Payment
BambooHR
None
1:1Toast order and payment records are outside the scope of a Toast-to-BambooHR HR migration. These records do not have a meaningful equivalent in BambooHR's HRIS data model. We do not migrate orders, payments, checks, or menu items. If the customer needs order history retained, we recommend exporting to a data warehouse or archive database separately.
Toast
Cash Management
BambooHR
None
1:1Toast cash drawer tracking, bank deposits, and cash-over-short reports are financial operations data unrelated to HR. We do not migrate cash management records. We flag this boundary clearly in the scope document so that the customer's accounting team knows to handle these exports through Toast's accounting module separately.
Toast
Time Entry (historical)
BambooHR
Time Off Report
1:1Historical time entries beyond the current accrual period migrate to BambooHR as read-only time-off reports or historical reference records. BambooHR's standard time-off module tracks current accruals and requests; historical labor hours from Toast are best preserved as an attached report or imported as a one-time accrual adjustment rather than as individual time entries, depending on the customer's audit requirements.
| Toast | BambooHR | Compatibility | |
|---|---|---|---|
| Employee | Employee (directory)1:1 | Fully supported | |
| Time Entry | Time Off (balances)lossy | Fully supported | |
| Shift | Schedule (calendar)lossy | Fully supported | |
| Employee (roles and permissions) | Employee (job information)1:1 | Fully supported | |
| Table and Section | Location1:many | Fully supported | |
| Customer Profile | Candidate (ATS)1:1 | Fully supported | |
| Custom Object | Custom Fieldlossy | Fully supported | |
| Order and Payment | None1:1 | Fully supported | |
| Cash Management | None1:1 | Mapping required | |
| Time Entry (historical) | Time Off Report1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Toast gotchas
Mandatory Toast payment processing is non-negotiable
SFTP export files are retained for only seven days
Proprietary hardware cannot be repurposed after switching
API rate limits restrict bulk export throughput
Hidden fees inflate apparent cost savings from switching
BambooHR gotchas
Undocumented API rate limits can trigger 503 errors
Per-employee pricing model requires active record count verification
API credentials must be sent on every request to avoid extra round trips
Custom field schema varies per account and requires manual inventory
Document and attachment exports are not covered by standard report exports
Pair-specific challenges
Migration approach
Engagement scoping and connection verification
We audit the source Toast account for employee count, custom employee properties, time-entry volume, shift record history, and location count. We verify BambooHR API connectivity by testing the employee directory endpoint with the provided API key, confirming OAuth 2.0 authorization or legacy key format, and validating that the API key user has sufficient permissions. We request an immediate full SFTP export from Toast and begin daily pull cadence. The scoping output is a written migration scope document with record counts per object, a list of custom fields requiring BambooHR registration, and a timeline estimate.
BambooHR schema preparation
We fetch the full list of available BambooHR fields via GET /v1/meta/fields to discover standard field IDs and any pre-existing custom fields in the destination account. We register any new custom fields required for Toast properties that do not map to standard BambooHR fields. We configure accrual policies for time-off types (PTO, sick, etc.) matching Toast's overtime eligibility rules. We configure BambooHR locations for multi-location restaurant groups. We configure the API key with the minimum required permissions for each data type. All schema changes deploy to the production BambooHR account before any data import begins.
Pre-migration data quality check
We run a data quality audit on the Toast export before any transformation. This includes duplicate email detection (against the live BambooHR directory), missing required fields for BambooHR employee creation (firstName, lastName, workEmail), time-entry date-range validation, and shift record completeness. We resolve email duplicates by appending a unique identifier to duplicates (e.g., [email protected]) unless the customer's admin provides a preferred resolution. Any records with missing required fields are flagged in the reconciliation report for manual correction before import.
Employee and time-off migration
We migrate employees first using BambooHR's employee creation endpoint (POST /employees) with a JSON body of field-value pairs. Toast's employee ID maps to employeeNumber in BambooHR for cross-system reference. Time entries from Toast SFTP exports transform into BambooHR time-off request records and accrual balance adjustments. We use exponential backoff on any HTTP 503 responses and chunk large time-entry batches into groups of 50 records per request to stay within the ~100 req/min rate limit. Each import phase emits a row-count reconciliation report showing records imported, skipped (duplicates), and failed with error reasons.
Shift data and scheduling handoff
Toast shift records export as reference data and are mapped to BambooHR calendar events for manager visibility. We do not create recurring shift schedules in BambooHR because BambooHR does not have a native scheduling module. We deliver a written inventory of active Toast scheduling rules (availability windows, role-based assignment, shift-swap preferences) with a recommended BambooHR alternative approach (BambooHR's availability settings, a third-party scheduling tool, or manual scheduling). The customer's HR admin uses this document to rebuild scheduling in their preferred tool post-migration.
Cutover, validation, and workflow handoff
We freeze Toast write access to the employee and time-entry modules during the cutover window, run a final delta migration of any records modified during the migration, then confirm BambooHR as the system of record for HR data. We validate record counts, spot-check 20-30 employee records against the Toast source, and confirm time-off balances reconcile. We deliver the workflow and scheduling inventory document to the customer's admin team. We support a three-day post-cutover window for reconciliation issues. We do not rebuild Toast scheduling automations as BambooHR workflows as standard scope.
Platform deep dives
Toast
Source
Strengths
Weaknesses
BambooHR
Destination
Strengths
Weaknesses
Complexity grading
Standard HRMS migration. 1 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Toast and BambooHR.
Object compatibility
1 of 7 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
Toast: Global ~20 req/sec across all APIs; per-API limits also apply; rate limit headers returned in every response.
Data volume sensitivity
Toast doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
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FAQ
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